Key result
Psychiatric states such as generalized anxiety and depression are strongly associated with distinctive circadian patterns of heart rate, which change state-dependently with clinical status.
Why the study?
Is there a relationship between psychiatric status and the circadian pattern of heart rate?
Observational (n=230)
Is there a relationship between psychiatric status and the circadian pattern of heart rate?
Psychiatric illnesses such as anxiety and depression are associated with distinct, state-dependent circadian patterns of heart rate.
Suggests circadian heart rate monitoring may eventually help track psychiatric clinical status; leaves open whether.
OBJECTIVE: The aim of this study was to investigate the relationship between psychiatric status and the circadian pattern of heart rate. METHOD: Serial 24-hour recordings of minute average heart rate were obtained from 30 normal volunteers and 200 patients representing a range of DSM-III-R diagnoses. Records were compared in terms of their circadian 'morphology' and grouped into different pattern types. The distribution of patterns in different diagnoses was analysed statistically. RESULTS: It was found that states such as generalised anxiety and depression are strongly associated with a distinctive circadian pattern, whereas others such as somatoform disorder show more variation in this regard. Serial recordings show that the relationship between psychiatric status and circadian pattern is state-dependent; a change in clinical status leads to a change in the circadian pattern. CONCLUSIONS: The presented findings together suggest that there is a systematic relationship between psychiatric status and heart rate in which core physiological differences between certain states are reflected in distinctively different circadian patterns of activity. The state-dependent nature of this relationship suggests obvious practical applications, and examples are given of how these adjunct data can provide objective indices of clinical status and change. At a theoretical level, the physiological dimension revealed by these data may help to define more reliable syndromal distinctions between various clinical manifestations and hence contribute to a more robust nosology.
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Hans G. Stampfer (1998) conducted an observational in Psychiatric illness (n=230). Psychiatric illness (DSM-III-R diagnoses) vs. Normal volunteers was evaluated on Circadian pattern of heart rate. Psychiatric states such as generalized anxiety and depression are strongly associated with distinctive circadian patterns of heart rate, which change state-dependently with clinical status.
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